At Deeplab we combine high-end software technologies with state-of-the-art machine learning and data science research to provide services and products that solve challenging real-life problems. This is a chance for you to get in on the ground floor of an exciting, fast growing AI start-up.
We are currently expanding our interdisciplinary team of experts and seek outstanding and enthusiastic machine learning engineers with an exceptional record to join our team. We are looking for self-motivated candidates, who share our passion for challenging problem-solving applied to tough industrial and research problems. Our team, a key player within an international research and development partnership in the domain of Recommender Systems, deals with disruptive projects from ideation to productization. You will get a chance to work with cross-functional teams, both internally and along with our external collaborators, and find tremendous opportunities to further develop yourself and Deeplab.
Mid-level Machine Learning Engineer candidates should have experience in machine learning, either acquired through previous practical work in a relevant industry/research position, or showcased by their exceptional academic achievements on a related postgraduate degree.
Requirements
Benefits
Deeplab is a pioneering machine learning startup providing state-of-the-art artificial intelligence Ramp;D solutions to hard real-life problems. At DeepLab we try to bridge the gap between the research and the industry: we aim to advance the scientific state-of-the-art and at the same time to introduce research solutions in large-scale industrial and research projects. We also cultivate and fund academic-industrial synergies to explore new research directions and applications. Our vision is the end-to-end interdisciplinary development and exploitation of ML research providing solutions to hard real-life problems that have actual societal impact in both research and business communities. Recently we have been involved with biomedical projects and more specifically with virtual screening for drug discovery (we are in the top-20 teams, of whom the recommended molecules will be experimentally validated in the wet-laboratory within the framework of Jedi Grand Challenge/competition for COVID-19). At the same time, working together for the last 4 years have created a strong partnership with Taboola, where we have introduced, co-developed and are responsible for the deep learning technology behind two large-scale production pipelines related to personalization and recommendation with impressive up to now results, in collaboration with a group of 50 engineers/scientists: The system serves billions of r